This work concerns applying two unsupervised learning algorithms on a set of customer. The aim was to detect potential segment of people to target while conducting marketing activities

We used two datasets : On top of Exploratory data analysis, clustering algorithms has been applied for both datasets Mall customer dataset I applied OPTICS clustering (Density based clustering) on this data. The algorithm has been applied on every subset of two features in order to discover common patterns each of these subsets.

Credit card customer dataset I applied Spectral Cluster (connectivity based clustering) on this data.The algorithm has been applied on every subset of two features in order to discover common patterns each of these subsets.

for more interpretations, visit the notebook either in this repo or kaggle :

https://www.kaggle.com/code/majdikarim/spectral-clustering

https://www.kaggle.com/code/majdikarim/customer-segmentation-using-optics-algorithm